Research
Compliance
Online Edge-Weighted Matching Beyond 0.55
Key Insights
- We give a $0.
- 556195$-competitive randomized algorithm for edge-weighted online bipartite matching with free disposal, improving the $0.
- 5368$ guarantee of Blanc and Charikar.
Cite this synthesis
DOI: 10.48550/arXiv.2611.06896 ↗
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@misc{ acaciacompliance-research-online-edge-weighted-matching-beyond-0-55,
title = { Online Edge-Weighted Matching Beyond 0.55 },
author = { Leszek },
year = { 2026 },
doi = { 10.48550/arXiv.2611.06896 },
url = { http://arxiv.org/abs/2611.06896v1 },
note = {Summarized and classified by AcaciaFund}
}
TY - GEN TI - Online Edge-Weighted Matching Beyond 0.55 AU - Leszek PY - 2026 DO - 10.48550/arXiv.2611.06896 UR - http://arxiv.org/abs/2611.06896v1 ER -
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Overview
We give a $0.556195$-competitive randomized algorithm for edge-weighted online bipartite matching with free disposal, improving the $0.5368$ guarantee of Blanc and Charikar. The result holds for arbit
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This item adds to the AML and compliance knowledge base. Practitioners can use it to stay current on Online Edge-Weighted Matching Beyond 0.55, but should validate its claims against primary sources and more recent work before relying on it in production decisions.
Key Takeaways
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